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Related Experiment Video

Updated: Feb 8, 2026

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

Quantifying insightful problem solving: a modified compound remote associates paradigm using lexical priming to

Maxi Becker¹, Gregor Wiedemann², Simone Kühn³

¹Clinic and Policlinic for Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany. max.becker@uke.de.

Psychological Research

|June 29, 2018

Summary

Knowledge constraints hinder insight problem solving and reduce Aha! experiences, even when controlling for other task difficulties. This study quantifies these effects in a modified Compound Remote Associates task.

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Area of Science:

Cognitive Psychology
Psycholinguistics

Background:

Insight problem solving involves searching constrained spaces for non-obvious solutions.
Task difficulty arises from large search spaces or knowledge constraints necessitating representational change.
Few studies systematically examine how different difficulty aspects impact performance and Aha! experiences.

Purpose of the Study:

Investigate how knowledge constraints modulate performance and Aha! experiences in Compound Remote Associates (CRA) tasks.
Control for other difficulty factors like problem size and word properties.
Develop and validate a modified CRA paradigm to elicit representational change.

Main Methods:

Developed and validated a modified CRA paradigm with lexical priming.
Used general linear mixed models to estimate effects of knowledge constraints and other difficulties.
Operationalized knowledge constraints as lexical distance (cosine distance) between word pairs.

Main Results:

Experimentally induced knowledge constraints significantly affected task performance.
Knowledge constraints were negatively related to the likelihood of an Aha! experience.
Effects were observed while controlling for problem size, search space, word length, and frequency.

Conclusions:

Knowledge constraints represent a significant barrier in insight problem solving, impacting both solution accuracy and the subjective Aha! experience.
The modified CRA paradigm effectively elicits representational change and allows for parametric analysis of difficulty factors.
Findings contribute to understanding cognitive mechanisms underlying insight and provide a validated stimulus set for future research.